Realistic human body models, providing individual or table measures and form features, are required for innovative 3D pattern construction of made-to-measure garment and for ergonomic customized equipment design. Typically, not complete information about the form of individual bodies is available from measures or tables, but only crucial parameters like lengths, perimeters or single curvature. That means, sophisticated approaches including anatomical and aesthetic a-priori knowledge and experience are necessary to build or adapt a complete 3D body model from such data. Further, virtual manipulation of body models like positioning of limbs, posture adaptation and motions, particularly without any underlying model of muscles, sinews or fat tissue needs complex mathematics for the achievement of realistic results. The contribution presents analysis and results in an approach based on CSRBFs for 3D modeling and adaptation of human body models, aiming at usage of size tables, BodyFit 3D measures and motion capture records.